Drimva

Apple

Machine Learning Manager, Visual Generation Foundation Models

$206K–$356K

Cupertino, California · Manager · Full-time · Posted Sep 11, 2026

Experience
2+ years as an ML Manager; 8+ years training state-of-the-art generative or understanding models.
Education
M.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics, or equivalent experience.

About the job

Leads machine learning engineers building and improving visual-generation foundation models, with a focus on training-data quality and shipping capabilities for Apple products.

What you'll do

  • Lead a team developing new capabilities and quality improvements for visual-generation foundation models.
  • Drive data excellence through large-scale datasets, machine-learning-based data enrichment, and quality-focused curation.
  • Partner with research, modeling, policy, and responsible-AI teams to advance research while maintaining safety and execution standards.

What they ask for

  • M.S. or PhD in Computer Science or a related field, or equivalent experience.
  • 2+ years of experience as an ML Manager leading teams in modern computer vision and generative AI research.
  • 8+ years of experience training state-of-the-art generative or understanding models.
  • Experience managing cross-functional projects, mentoring engineers, and proficiency in ML frameworks and distributed data processing pipelines.

Nice to have

  • Hands-on research experience working with data and building models; recent projects in visual generative AI for images or videos.
  • Track record of industrial research, including complex project delivery or publications in top-tier venues.

Pay

$206,200 and $356,400 (base salary)

Tools

ML frameworks, distributed data processing pipelines

AI focus

Leads research and development of visual-generation foundation models, improving training data and model quality for generative AI experiences.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)